摘要
指出了时变ＡＲ模型ＬＳ估计中目前存在的一些问题，并提出了一种正交最小二乘估计方法，在循环冷却水ｐＨ值的动态特性的预报控制应用中达到了较高的精度。
The time -varying AR model can be applied to analyse nonstationary signals;the parameters estimation often uses the Least Sqnare methodology now. This papelr provides several problems in LS estimation of this kind of model,and anothogonal LS algorithm is proposed.High accuracy is achieved in predicting thecontrol of the dynamics of pH in cyclic cooling water.
出处
《应用科学学报》
CAS
CSCD
1995年第4期457-460,共4页
Journal of Applied Sciences
基金
国家教委博士点基金资助课题
关键词
非平稳
时变AR模型
病态
正交最小二乘
LS估计
nonstationary,time-varying AR model, ill-conditioned,othogonal least square.
